In fig:animals we show domain adaptations from dogs to a wide range of animals. For all animal translation experiments, we set the number of trainable layers to three at each iteration, and train a latent mapper to reduce leakage from the source domain. In contrast to fig:generatedffhqsmall,fig:generatedchurchsmall, where changes focused mainly on style or minor shape adjustments, here the model is required to perform significant shape modifications. For example, many animals sport upright ears, while most AFHQ-dog [1]} breeds do not.
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